Emad Barsoum

67 total papers · 1.8k total citations
7 papers, 621 citations indexed

About

Emad Barsoum is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Emad Barsoum has authored 7 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Emad Barsoum's work include Topic Modeling (2 papers), Multimodal Machine Learning Applications (2 papers) and Video Analysis and Summarization (2 papers). Emad Barsoum is often cited by papers focused on Topic Modeling (2 papers), Multimodal Machine Learning Applications (2 papers) and Video Analysis and Summarization (2 papers). Emad Barsoum collaborates with scholars based in United States, Egypt and China. Emad Barsoum's co-authors include Cha Zhang, Seyedmahdad Mirsamadi, Cristian Canton Ferrer, Sarah Adel Bargal, Weitang Liu, John D. Owens, Huchuan Lu, Xu Jia, Ashish Sirasao and Takashi Isobe and has published in prestigious journals such as arXiv (Cornell University) and 34th Structures, Structural Dynamics and Materials Conference.

In The Last Decade

Emad Barsoum

5 papers receiving 566 citations

Hit Papers

Automatic speech emotion ... 2017 2026 2020 2023 2017 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Emad Barsoum 465 351 267 168 62 7 621
Zheng-Wei Huang 518 1.1× 480 1.4× 324 1.2× 185 1.1× 78 1.3× 17 784
Seyedmahdad Mirsamadi 382 0.8× 421 1.2× 316 1.2× 94 0.6× 55 0.9× 11 615
Raymond Brueckner 394 0.8× 425 1.2× 360 1.3× 95 0.6× 88 1.4× 13 705
Anna Polychroniou 303 0.7× 300 0.9× 295 1.1× 76 0.5× 54 0.9× 7 556
Mohammad Inayatullah Babar 255 0.5× 218 0.6× 171 0.6× 89 0.5× 60 1.0× 19 587
Yelin Kim 356 0.8× 228 0.6× 243 0.9× 201 1.2× 58 0.9× 21 636
Theodoros Iliou 344 0.7× 235 0.7× 183 0.7× 91 0.5× 55 0.9× 20 587
Michael K. Keutmann 289 0.6× 244 0.7× 164 0.6× 126 0.8× 84 1.4× 10 613
Vedhas Pandit 154 0.3× 339 1.0× 116 0.4× 186 1.1× 82 1.3× 16 614
Aharon Satt 276 0.6× 247 0.7× 310 1.2× 72 0.4× 194 3.1× 10 792

Countries citing papers authored by Emad Barsoum

Since Specialization
Citations

This map shows the geographic impact of Emad Barsoum's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emad Barsoum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emad Barsoum more than expected).

Fields of papers citing papers by Emad Barsoum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emad Barsoum. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emad Barsoum. The network helps show where Emad Barsoum may publish in the future.

Co-authorship network of co-authors of Emad Barsoum

This figure shows the co-authorship network connecting the top 25 collaborators of Emad Barsoum. A scholar is included among the top collaborators of Emad Barsoum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emad Barsoum. Emad Barsoum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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